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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Administrator (CKA) Program Exam |
| Exam Number: | CKA |
| Exam Format: | Performance-based |
| Real Exam Qty: | 15-20 |
| Exam Price: | $445 USD |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) Certified Kubernetes Security Specialist (CKS) |
| Certificate Validity Period: | 2 years |
| Passing Score: | 66% |
| Sample Questions: | Linux Foundation CKA Sample Questions |
| Exam Way: | Online, proctored, performance-based exam. Candidates solve problems from a command line. |
| Pre Condition: | No prerequisites required. Candidates should have a conceptual and practical understanding of Kubernetes components and native objects. |
| Official Syllabus URL: | https://www.cncf.io/training/certification/cka/ |
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The CKA certification is an essential credential for professionals who want to demonstrate their proficiency in Kubernetes administration. Certified Kubernetes Administrator (CKA) Program Exam certification is recognized worldwide and is highly valued by organizations that use Kubernetes in their production environments. Certified Kubernetes Administrator (CKA) Program Exam certification provides a competitive edge to professionals and helps them stand out in a crowded job market. The CKA program also provides candidates with access to a community of certified professionals, resources, and tools that can help them advance their careers in Kubernetes administration.
NEW QUESTION # 60
You are running a critical application on Kubernetes that requires high availability. To ensure the application stays operational even if one or more nodes experience failures, you decide to implement a pod anti-affinity rule. Explain how you can configure an anti-affinity rule to prevent pods from being scheduled on the same node.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Define the Anti-Affinity Rule: Add an 'affinity' section to the 'spec.template.spec' of your Deployment or StatefulSet. Within , define a podAntiAffinity' section, specifying that pods with the same label should not be placed on the same node.
2. Use 'requiredDuringSchedulinglgnoredDuringExecution': The 'requiredDuringSchedulinglgnoredDuringExecutioru section ensures that the rule is enforced during pod scheduling. Once a pod is scheduled, the rule is ignored. This ensures that even if a node fails, the remaining pods are not affected. 3. Set 'topologyKey': The 'topologyKey' is set to 'kubernetes.io/hostname'. This tells Kubernetes to consider the node's hostname for pod placement. It will prevent pods with the label 'app: my-critical-app' from being scheduled on the same node. 4. Verify the Deployment: Apply the YAML file to your cluster using 'kubectl apply -f my-critical-app.yaml'. You can then check the status of your Deployment using 'kubectl get pods -l app=my-critical-app' to verify that the pods are distributed across different nodes.
NEW QUESTION # 61
Create a busybox pod which executes this command sleep 3600 with the service account admin and verify
Answer: A
NEW QUESTION # 62
You are running a Deployment named 'web-app' with 3 replicas of a web application container. The container image is hosted in a private registry accessible via a secret named 'my-registry-secret'. You need to implement a rolling update strategy that allows for a maximum of one pod to be unavailable at any given time during the update process. Additionally, you need to configure a 'pre-stop' hook for the container that gracefully shuts down the web application before it is terminated.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 3.
- Define 'maxUnavailable: 1' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.
- Add a Always' to ensure that the new image is pulled
even if it exists in the pod's local cache.
- Add a hook to define a script that gracefully shuts down
the web application before the pod is terminated.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f web-app.yamP 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments web-app' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'my-private-registry/web-app:latest' private registry. 5. Monitor the Deployment: - Use "kubectl get pods -l app=web-app' to monitor the pod updates during the rolling update process. You will observe that one pod is terminated at a time, while one new pod with the updated image is created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment web-app' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 63
Score:7%
Task
Create a new PersistentVolumeClaim
* Name: pv-volume
* Class: csi-hostpath-sc
* Capacity: 10Mi
Create a new Pod which mounts the PersistentVolumeClaim as a volume:
* Name: web-server
* Image: nginx
* Mount path: /usr/share/nginx/html
Configure the new Pod to have ReadWriteOnce access on the volume.
Finally, using kubectl edit or kubectl patch expand the PersistentVolumeClaim to a capacity of 70Mi and record that change.
Answer:
Explanation:
Solution:
vi pvc.yaml
storageclass pvc
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: pv-volume
spec:
accessModes:
- ReadWriteOnce
volumeMode: Filesystem
resources:
requests:
storage: 10Mi
storageClassName: csi-hostpath-sc
# vi pod-pvc.yaml
apiVersion: v1
kind: Pod
metadata:
name: web-server
spec:
containers:
- name: web-server
image: nginx
volumeMounts:
- mountPath: "/usr/share/nginx/html"
name: my-volume
volumes:
- name: my-volume
persistentVolumeClaim:
claimName: pv-volume
# craete
kubectl create -f pod-pvc.yaml
#edit
kubectl edit pvc pv-volume --record
NEW QUESTION # 64
Create the service as type NodePort with the port 32767 for the nginx pod with the pod selector app: my-nginx
Answer:
Explanation:
kubectl run nginx --image=nginx --restart=Never -- labels=app=nginx --port=80 --dry-run -o yaml > nginx-pod.yaml
NEW QUESTION # 65
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